Pub Date : 2025-10-26DOI: 10.1016/j.jik.2025.100869
Bimei Feng, Xi Chen, Hengyun Tang
As global climate change and sustainability challenges intensify, corporate green governance has become a key strategy for enhancing competitiveness. The rapid advancement of artificial intelligence (AI) offers new momentum for green governance innovation. Using panel data on Chinese listed firms from 2009 to 2023, this study examines how AI adoption influences green governance performance. The findings reveal that AI significantly enhances environmental performance, lowers ecological costs, and promotes sustainable innovation. The results remain robust across multiple specifications, with stronger effects observed in state-owned enterprises, financially constrained firms, and ISO14001-certified companies. Employing Bartik instrumental variables mitigates potential endogeneity concerns. Mechanism analysis demonstrates that AI fosters green governance through improvements in asset efficiency, market valuation, and cash flow management. These insights underscore the strategic importance of AI-driven green governance as a pathway toward corporate sustainability and competitive advantage.
{"title":"AI-driven green governance: Assessing the impact of artificial intelligence on corporate sustainability performance","authors":"Bimei Feng, Xi Chen, Hengyun Tang","doi":"10.1016/j.jik.2025.100869","DOIUrl":"10.1016/j.jik.2025.100869","url":null,"abstract":"<div><div>As global climate change and sustainability challenges intensify, corporate green governance has become a key strategy for enhancing competitiveness. The rapid advancement of artificial intelligence (AI) offers new momentum for green governance innovation. Using panel data on Chinese listed firms from 2009 to 2023, this study examines how AI adoption influences green governance performance. The findings reveal that AI significantly enhances environmental performance, lowers ecological costs, and promotes sustainable innovation. The results remain robust across multiple specifications, with stronger effects observed in state-owned enterprises, financially constrained firms, and ISO14001-certified companies. Employing Bartik instrumental variables mitigates potential endogeneity concerns. Mechanism analysis demonstrates that AI fosters green governance through improvements in asset efficiency, market valuation, and cash flow management. These insights underscore the strategic importance of AI-driven green governance as a pathway toward corporate sustainability and competitive advantage.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"11 ","pages":"Article 100869"},"PeriodicalIF":15.5,"publicationDate":"2025-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145424977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-26DOI: 10.1016/j.jik.2025.100855
Mian Ali Noor Shah , Lapo Mola
Digital transformation, defined as the adoption and application of emerging digital technologies, is becoming a growing trend. However, the academic literature still lacks a comprehensive understanding of the impacts of these technologies in human resource management (HRM) at organisational and individual levels from the perspective of sustainable employability. This study, therefore, aims to systematise relevant studies from 2019 to 2024 that were published in the top HRM, general management and information systems journals. We extracted 86 articles related to digital technologies, HRM and general management from the perspective of sustainable employability and identified two prevailing themes: (i) a human-centred approach and (ii) a changing perception of work. From these two themes, we derive four perspectives on digital transformation and sustainable employability: organisational, leadership, employee–employer and employee’s self-view perspectives.
{"title":"Digital transformation and knowledge in sustainable employability: A systematic literature review","authors":"Mian Ali Noor Shah , Lapo Mola","doi":"10.1016/j.jik.2025.100855","DOIUrl":"10.1016/j.jik.2025.100855","url":null,"abstract":"<div><div>Digital transformation, defined as the adoption and application of emerging digital technologies, is becoming a growing trend. However, the academic literature still lacks a comprehensive understanding of the impacts of these technologies in human resource management (HRM) at organisational and individual levels from the perspective of sustainable employability. This study, therefore, aims to systematise relevant studies from 2019 to 2024 that were published in the top HRM, general management and information systems journals. We extracted 86 articles related to digital technologies, HRM and general management from the perspective of sustainable employability and identified two prevailing themes: (i) a human-centred approach and (ii) a changing perception of work. From these two themes, we derive four perspectives on digital transformation and sustainable employability: organisational, leadership, employee–employer and employee’s self-view perspectives.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"11 ","pages":"Article 100855"},"PeriodicalIF":15.5,"publicationDate":"2025-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145381837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-25DOI: 10.1016/j.jik.2025.100858
Ji Chen , Kang Tong , Qinglin Yu , Sichao Chen , Tomas Balezentis , Dalia Streimikiene
Forecasting hotel occupancy during external shocks is particularly challenging due to their disruptive effects. This study develops a forecasting framework that integrates multisource data using a time-varying parameter state-space model (TVP-SSM). In this framework, search engine data (SED) are used to construct exogenous variables, intervention variables are used to reflect the severity of external shocks, and holiday and weekend dummy variables are used to capture the seasonal effect. The empirical study used a dataset from the hospitality industry in Hangzhou, China, covering the period from October 1, 2019, to October 28, 2021, and identified the COVID-19 pandemic as an external shock. The results show that TVP-SSM can effectively simulate the dynamic impact of external events and the periodical effect on hotel occupancy. Additionally, the prediction accuracy of TVP-SSM with intervention variables and periodical variables (TVP-SSM-1) exceeds that of competitive models. Specifically, compared to the naïve model and TVP-SSM without intervention variables and periodic variables (TVP-SSM-2), the prediction accuracy, measured by the root mean square error (RMSE) and mean absolute percentage error (MAPE), increased by 86 % and 87 %, respectively, and by 74 % and 76 %, respectively. These results indicate that the forecasting framework proposed in this study exhibits superior forecasting performance and demonstrates its capability for dynamic impact analysis of hotel occupancy at the industry level under external shocks.
{"title":"Innovative knowledge-based system for forecasting daily hotel operations amid external events using multi-source data: A time-varying parameter state-space model","authors":"Ji Chen , Kang Tong , Qinglin Yu , Sichao Chen , Tomas Balezentis , Dalia Streimikiene","doi":"10.1016/j.jik.2025.100858","DOIUrl":"10.1016/j.jik.2025.100858","url":null,"abstract":"<div><div>Forecasting hotel occupancy during external shocks is particularly challenging due to their disruptive effects. This study develops a forecasting framework that integrates multisource data using a time-varying parameter state-space model (TVP-SSM). In this framework, search engine data (SED) are used to construct exogenous variables, intervention variables are used to reflect the severity of external shocks, and holiday and weekend dummy variables are used to capture the seasonal effect. The empirical study used a dataset from the hospitality industry in Hangzhou, China, covering the period from October 1, 2019, to October 28, 2021, and identified the COVID-19 pandemic as an external shock. The results show that TVP-SSM can effectively simulate the dynamic impact of external events and the periodical effect on hotel occupancy. Additionally, the prediction accuracy of TVP-SSM with intervention variables and periodical variables (TVP-SSM-1) exceeds that of competitive models. Specifically, compared to the naïve model and TVP-SSM without intervention variables and periodic variables (TVP-SSM-2), the prediction accuracy, measured by the root mean square error (RMSE) and mean absolute percentage error (MAPE), increased by 86 % and 87 %, respectively, and by 74 % and 76 %, respectively. These results indicate that the forecasting framework proposed in this study exhibits superior forecasting performance and demonstrates its capability for dynamic impact analysis of hotel occupancy at the industry level under external shocks.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"11 ","pages":"Article 100858"},"PeriodicalIF":15.5,"publicationDate":"2025-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145365559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-25DOI: 10.1016/j.jik.2025.100837
Xin Gao , Lawrence Haynes , Franz W. Kellermanns
Abstract
The Request for Proposal (RFP) process, which is used extensively by industry and all levels of government for the procurement of products and services, is generated independently of later project execution. This paper examines the impact of RFP project requirements risk on project performance. Furthermore, utilizing Transactive Memory Systems (TMS) theory, we identify “proposal overlap” between the RFP team and the final project execution team as a key moderator of this relationship. The results support our hypotheses that proposal overlap mitigates the impact of requirements risk on project performance. We discuss implications for project management and develop future research avenues.
摘要征求建议书（Request for Proposal， RFP）流程是独立于后续项目执行而产生的，被行业和各级政府广泛用于产品和服务的采购。本文考察了RFP项目需求风险对项目绩效的影响。此外，利用交互式记忆系统（TMS）理论，我们确定了RFP团队和最终项目执行团队之间的“提案重叠”是这种关系的关键调节因素。结果支持我们的假设，即建议重叠减轻了需求风险对项目性能的影响。我们讨论了对项目管理的影响，并开发了未来的研究途径。
{"title":"Requirements risk and project performance: The moderating role of proposal overlap","authors":"Xin Gao , Lawrence Haynes , Franz W. Kellermanns","doi":"10.1016/j.jik.2025.100837","DOIUrl":"10.1016/j.jik.2025.100837","url":null,"abstract":"<div><h3>Abstract</h3><div>The Request for Proposal (RFP) process, which is used extensively by industry and all levels of government for the procurement of products and services, is generated independently of later project execution. This paper examines the impact of RFP project requirements risk on project performance. Furthermore, utilizing Transactive Memory Systems (TMS) theory, we identify “proposal overlap” between the RFP team and the final project execution team as a key moderator of this relationship. The results support our hypotheses that proposal overlap mitigates the impact of requirements risk on project performance. We discuss implications for project management and develop future research avenues.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 6","pages":"Article 100837"},"PeriodicalIF":15.5,"publicationDate":"2025-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145363635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-23DOI: 10.1016/j.jik.2025.100853
Marinko Skare , Dean Sinkovic , Magdalena Kowalska , Anna Szwajlik
This study investigates the impact of artificial intelligence (AI) capabilities on brand management and value creation, proposing a comprehensive competitiveness framework for firms. Utilizing a panel dataset spanning 26 years across 30 countries, Arellano-Bond and Blundell-Bond System GMM estimations examine the relationship between AI stock, AI impact, and brand value. The findings reveal that AI stock and impact significantly contribute to brand value, with their interaction yielding synergistic effects. The study highlights the mediating role of gross value-added (GVA) in the relationship between AI stock and brand value, suggesting that AI-driven productivity gains enhance brand equity. Investments in computing and communication equipment and efforts to strengthen brand relationship strength (BRS) also influence brand value. Integrating AI capabilities with market research amplifies brand value through data-driven insights and consumer engagement strategies. Furthermore, novel AI-enhanced measurement methodologies capture brand value creation more accurately than traditional metrics. These findings offer valuable insights for firms seeking to leverage AI capabilities to enhance brand equity and gain a competitive advantage in a rapidly evolving marketplace.
本研究探讨了人工智能（AI）能力对品牌管理和价值创造的影响，为企业提出了一个全面的竞争力框架。利用横跨30个国家26年的面板数据集，Arellano-Bond和Blundell-Bond System GMM估算研究了人工智能股票、人工智能影响和品牌价值之间的关系。研究结果表明，人工智能股票和影响力对品牌价值有显著贡献，它们的相互作用产生协同效应。该研究强调了总增加值（GVA）在人工智能股票与品牌价值之间关系中的中介作用，表明人工智能驱动的生产率提高提高了品牌资产。对计算机和通信设备的投资以及加强品牌关系强度（BRS）的努力也会影响品牌价值。将人工智能功能与市场研究相结合，通过数据驱动的洞察力和消费者参与策略，放大品牌价值。此外，新的人工智能增强测量方法比传统指标更准确地捕捉品牌价值创造。这些发现为寻求利用人工智能能力增强品牌资产并在快速发展的市场中获得竞争优势的公司提供了宝贵的见解。
{"title":"Integrating artificial intelligence with market research: A dual approach to boosting brand value","authors":"Marinko Skare , Dean Sinkovic , Magdalena Kowalska , Anna Szwajlik","doi":"10.1016/j.jik.2025.100853","DOIUrl":"10.1016/j.jik.2025.100853","url":null,"abstract":"<div><div>This study investigates the impact of artificial intelligence (AI) capabilities on brand management and value creation, proposing a comprehensive competitiveness framework for firms. Utilizing a panel dataset spanning 26 years across 30 countries, Arellano-Bond and Blundell-Bond System GMM estimations examine the relationship between AI stock, AI impact, and brand value. The findings reveal that AI stock and impact significantly contribute to brand value, with their interaction yielding synergistic effects. The study highlights the mediating role of gross value-added (GVA) in the relationship between AI stock and brand value, suggesting that AI-driven productivity gains enhance brand equity. Investments in computing and communication equipment and efforts to strengthen brand relationship strength (BRS) also influence brand value. Integrating AI capabilities with market research amplifies brand value through data-driven insights and consumer engagement strategies. Furthermore, novel AI-enhanced measurement methodologies capture brand value creation more accurately than traditional metrics. These findings offer valuable insights for firms seeking to leverage AI capabilities to enhance brand equity and gain a competitive advantage in a rapidly evolving marketplace.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"11 ","pages":"Article 100853"},"PeriodicalIF":15.5,"publicationDate":"2025-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145365557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-23DOI: 10.1016/j.jik.2025.100868
Giovanna Ferraro , Giuseppe Scandurra , Antonio Thomas
The adoption of innovations to support technological transitions is widely recognized as a key strategic lever for maintaining competitiveness, but while many studies have explored the general determinants of innovation, less is known about the factors that foster the development of innovation capabilities (ICs)—those competencies that enable a systematic approach to innovation. This knowledge gap is particularly evident in the context of small and medium-sized enterprises (SMEs), despite the significant role they play in many national economies, so understanding how SMEs can systematically pursue innovation is therefore crucial for the competitiveness of these economies. To address this gap, this study proposes and tests an interpretative model aimed at predicting the emergence of ICs within SMEs. The model examines how commonly studied determinants of innovation are moderated by two specific antecedents: organizational tools and procedures. Using partial least squares structural equation modeling (PLS-SEM), the study analyzes a sample of innovation-oriented SMEs, with the results showing that economic objectives, available resources, networking, and corporate culture influence SMEs’ decisions to invest in organizational tools and procedures that enhance ICs. In fact, organizational tools play a central mediating role, while excessive procedural formalization may hinder flexibility and limit innovation outcomes. This research contributes to clarifying the antecedents of ICs and offers theoretical, practical, and policy insights that are applicable beyond the specific context investigated.
{"title":"The emergence of innovation capabilities supporting technological shifts among SMEs: A mediated moderated model","authors":"Giovanna Ferraro , Giuseppe Scandurra , Antonio Thomas","doi":"10.1016/j.jik.2025.100868","DOIUrl":"10.1016/j.jik.2025.100868","url":null,"abstract":"<div><div>The adoption of innovations to support technological transitions is widely recognized as a key strategic lever for maintaining competitiveness, but while many studies have explored the general determinants of innovation, less is known about the factors that foster the development of innovation capabilities (ICs)—those competencies that enable a systematic approach to innovation. This knowledge gap is particularly evident in the context of small and medium-sized enterprises (SMEs), despite the significant role they play in many national economies, so understanding how SMEs can systematically pursue innovation is therefore crucial for the competitiveness of these economies. To address this gap, this study proposes and tests an interpretative model aimed at predicting the emergence of ICs within SMEs. The model examines how commonly studied determinants of innovation are moderated by two specific antecedents: organizational tools and procedures. Using partial least squares structural equation modeling (PLS-SEM), the study analyzes a sample of innovation-oriented SMEs, with the results showing that economic objectives, available resources, networking, and corporate culture influence SMEs’ decisions to invest in organizational tools and procedures that enhance ICs. In fact, organizational tools play a central mediating role, while excessive procedural formalization may hinder flexibility and limit innovation outcomes. This research contributes to clarifying the antecedents of ICs and offers theoretical, practical, and policy insights that are applicable beyond the specific context investigated.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"11 ","pages":"Article 100868"},"PeriodicalIF":15.5,"publicationDate":"2025-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145365555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-23DOI: 10.1016/j.jik.2025.100806
Juan Francisco Prados-Castillo , Jose María Martín Martín , Inna Alexeeva-Alexeev , José Manuel Guaita-Martínez
Blockchain and digital technologies are transforming innovation and knowledge creation by reshaping how users interact with services, make decisions, and engage with digital ecosystems, particularly in the digital sector. This study examines the psychological and behavioural factors shaping the adoption of blockchain and digital technologies among digital natives. Drawing on the Technology Acceptance Model, Trust Theory, the Unified Theory of Acceptance and Use of Technology, the Diffusion of Innovations Theory, the Mobile Payments Technology Acceptance Model, and the Experience Paradox theory, this study develops and tests a comprehensive framework using Partial Least Squares Structural Equation Modelling (PLS-SEM). The findings highlight the central roles of trust, perceived utility, and perceived risk in adoption behaviour. On the other hand, previous digital experience is configured as a moderating factor in the relationship between perceived usefulness and adoption intention. More experienced users have a more critical attitude towards blockchain, demanding clearer advantages from such technology. This study seeks to contribute to the existing literature by refining technology adoption models. Practical recommendations are offered for businesses and policymakers, who seek to foster innovation processes through actions that build trust, address perceived risks, and help tailor strategies to the user experience.
{"title":"Understanding blockchain by digital natives: innovation, trust and psychological factors","authors":"Juan Francisco Prados-Castillo , Jose María Martín Martín , Inna Alexeeva-Alexeev , José Manuel Guaita-Martínez","doi":"10.1016/j.jik.2025.100806","DOIUrl":"10.1016/j.jik.2025.100806","url":null,"abstract":"<div><div>Blockchain and digital technologies are transforming innovation and knowledge creation by reshaping how users interact with services, make decisions, and engage with digital ecosystems, particularly in the digital sector. This study examines the psychological and behavioural factors shaping the adoption of blockchain and digital technologies among digital natives. Drawing on the Technology Acceptance Model, Trust Theory, the Unified Theory of Acceptance and Use of Technology, the Diffusion of Innovations Theory, the Mobile Payments Technology Acceptance Model, and the Experience Paradox theory, this study develops and tests a comprehensive framework using Partial Least Squares Structural Equation Modelling (PLS-SEM). The findings highlight the central roles of trust, perceived utility, and perceived risk in adoption behaviour. On the other hand, previous digital experience is configured as a moderating factor in the relationship between perceived usefulness and adoption intention. More experienced users have a more critical attitude towards blockchain, demanding clearer advantages from such technology. This study seeks to contribute to the existing literature by refining technology adoption models. Practical recommendations are offered for businesses and policymakers, who seek to foster innovation processes through actions that build trust, address perceived risks, and help tailor strategies to the user experience.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 6","pages":"Article 100806"},"PeriodicalIF":15.5,"publicationDate":"2025-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145363636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-22DOI: 10.1016/j.jik.2025.100862
Huiru Wei, Kuiran Yuan, Jie Zhang
With the growing complexity and uncertainty of the global supply chain, firms face more severe supply chain risks. This study integrates subjective risk perception and objective risk exposure into a unified analytical framework to explore the impact of supply chain digitalization (SCD) on firms’ supply chain risks. The findings indicate that SCD significantly enhances firms’ subjective risk perception while effectively reducing their objective risk exposure. After conducting robustness checks, the results remain robust. Mechanism analysis suggests that SCD primarily enhances firms’ risk perception and reduces actual risks through information and technological channels. Moreover, this study performs a heterogeneity analysis considering industry monopoly level, internal control quality, and financing constraints, revealing significant differences in the risk mitigation effects of SCD across industries and firm characteristics. Our research provides practical insights for firms in managing supply chain risks during digitalization and offers theoretical guidance for policymakers in formulating relevant strategies.
{"title":"The dual impact of supply chain digitalization: Amplifying subjective risk perception, innovating and mitigating objective risk exposure","authors":"Huiru Wei, Kuiran Yuan, Jie Zhang","doi":"10.1016/j.jik.2025.100862","DOIUrl":"10.1016/j.jik.2025.100862","url":null,"abstract":"<div><div>With the growing complexity and uncertainty of the global supply chain, firms face more severe supply chain risks. This study integrates subjective risk perception and objective risk exposure into a unified analytical framework to explore the impact of supply chain digitalization (SCD) on firms’ supply chain risks. The findings indicate that SCD significantly enhances firms’ subjective risk perception while effectively reducing their objective risk exposure. After conducting robustness checks, the results remain robust. Mechanism analysis suggests that SCD primarily enhances firms’ risk perception and reduces actual risks through information and technological channels. Moreover, this study performs a heterogeneity analysis considering industry monopoly level, internal control quality, and financing constraints, revealing significant differences in the risk mitigation effects of SCD across industries and firm characteristics. Our research provides practical insights for firms in managing supply chain risks during digitalization and offers theoretical guidance for policymakers in formulating relevant strategies.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"11 ","pages":"Article 100862"},"PeriodicalIF":15.5,"publicationDate":"2025-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145365558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-22DOI: 10.1016/j.jik.2025.100865
Katarzyna Awruk, Marcin Waldemar Staniewski, Wojciech Słomski
The purpose of this study was to investigate the mechanisms through which intimate relationships influence the business achievements of both men and women. The study involved 400 Small and Medium Enterprises (SME) entrepreneurs (177 women and 223 men) in Poland, all of whom are currently in a relationship and have been running their businesses for at least three years. We used seven tools in the study: the Entrepreneurial Success Scale, the Marital Communication Questionnaire, the KDM-2 Matched Marriage Questionnaire, the Relationship Support in Business Scale, the Achievement Motivation Inventory, the GSES Generalized Self-Efficacy Scale, and a personal data sheet. The findings confirmed the role of romantic partners in enhancing psychological traits, such as self-efficacy and achievement motivation, which are critical for business performance. This effect was particularly pronounced among female entrepreneurs. Satisfying intimate relationships and supportive communication (especially with regard to entrepreneurial activity) can contribute to the better business performance of individuals.
{"title":"Intimate relationship communication, knowledge and relationship satisfaction in entrepreneurial success—the mediating role of self-efficacy and achievement motivation","authors":"Katarzyna Awruk, Marcin Waldemar Staniewski, Wojciech Słomski","doi":"10.1016/j.jik.2025.100865","DOIUrl":"10.1016/j.jik.2025.100865","url":null,"abstract":"<div><div>The purpose of this study was to investigate the mechanisms through which intimate relationships influence the business achievements of both men and women. The study involved 400 Small and Medium Enterprises (SME) entrepreneurs (177 women and 223 men) in Poland, all of whom are currently in a relationship and have been running their businesses for at least three years. We used seven tools in the study: the <em>Entrepreneurial Success Scale, the Marital Communication Questionnaire, the KDM-2 Matched Marriage Questionnaire, the Relationship Support in Business Scale, the Achievement Motivation Inventory, the GSES Generalized Self-Efficacy Scale, and a personal data sheet.</em> The findings confirmed the role of romantic partners in enhancing psychological traits, such as self-efficacy and achievement motivation, which are critical for business performance. This effect was particularly pronounced among female entrepreneurs. Satisfying intimate relationships and supportive communication (especially with regard to entrepreneurial activity) can contribute to the better business performance of individuals.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"11 ","pages":"Article 100865"},"PeriodicalIF":15.5,"publicationDate":"2025-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145365556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-21DOI: 10.1016/j.jik.2025.100852
Stanisław Fel , Jarosław Kozak , Piotr Horodyski
This exploratory study aimed to identify new predictors of the acceptance of artificial intelligence (AI) among students by comparing the effectiveness of three models: the technology acceptance, unified theory of acceptance and use of technology, and value-based adoption model. A quantitative and cross-sectional computer-assisted web interview survey was administered to 2098 university students between December 2023 and January 2024. Linear regression analysis was performed. The key contribution of the study is its introduction of the responsibility variable as a new factor that significantly increases the explanatory power of the examined models. This finding necessitates the inclusion of technology-related ethical and social aspects as an update to the existing theoretical framework. This paper offers a new perspective on the intersection of technology acceptance and responsibility, thus providing a basis for strategising and policymaking to support the implementation of AI in line with social values.
{"title":"Responsibility and AI: Exploring technology acceptance models","authors":"Stanisław Fel , Jarosław Kozak , Piotr Horodyski","doi":"10.1016/j.jik.2025.100852","DOIUrl":"10.1016/j.jik.2025.100852","url":null,"abstract":"<div><div>This exploratory study aimed to identify new predictors of the acceptance of artificial intelligence (AI) among students by comparing the effectiveness of three models: the technology acceptance, unified theory of acceptance and use of technology, and value-based adoption model. A quantitative and cross-sectional computer-assisted web interview survey was administered to 2098 university students between December 2023 and January 2024. Linear regression analysis was performed. The key contribution of the study is its introduction of the responsibility variable as a new factor that significantly increases the explanatory power of the examined models. This finding necessitates the inclusion of technology-related ethical and social aspects as an update to the existing theoretical framework. This paper offers a new perspective on the intersection of technology acceptance and responsibility, thus providing a basis for strategising and policymaking to support the implementation of AI in line with social values.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 6","pages":"Article 100852"},"PeriodicalIF":15.5,"publicationDate":"2025-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145363634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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